LPS-MIA base analysis

Post-normalization QC

  1. Performing post-normalization QC:

Post-correction QC

  1. Post-correction QC

Something that might make you sad: this is how the data looks when we can remove duplicate correlation:

DESeq2 anaylsis

  1. Performing DESeq2

out of 17645 with nonzero total read count adjusted p-value < 0.1 LFC > 0 (up) : 0, 0% LFC < 0 (down) : 0, 0% outliers [1] : 0, 0% low counts [2] : 0, 0% (mean count < 1) [1] see ‘cooksCutoff’ argument of ?results [2] see ‘independentFiltering’ argument of ?results

Interactive results table

(5.1) Results